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End-to-End Supply Chain Orchestration: Achieving Visibility and Operational Control

Logistics Viewpoints

In most industries, supply chains have become increasingly complex. This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. As a result, many organizations are moving toward supply chain orchestration as a structured method for improving coordination.

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Interoperability in the Supply Chain: Leveraging the OSI Model for Seamless Logistics

Logistics Viewpoints

In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Here’s how each layer translates to the supply chain context: 1. These seven layers are: 1.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

The adoption of AI in supply chain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.

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Schneider Electric’s Supply Chain Design Journey

Logistics Viewpoints

Schneider Electric has been working to simplify its supply chain over the last few years. This French public multinational was selected as having the best global supply chain by a leading analyst firm. Schneider Electric’s supply chain operation is of great interest to other practitioners.

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Supply Chain Network Design. Sales and operations planning (S&OP). Warehouse optimization. Read about 5 use cases. Sales and Operations Execution (S&OE). Inventory optimization.

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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

Logistics Viewpoints

The industrial sectorparticularly supply chain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supply chain management.